ArticleJournal of personalized medicine2021
GENERATOR Breast DataMart-The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future Perspectives.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Feasibility of a prospective real-time monitoring system capturing real-world data from elderly patients with acute myeloid leukemia.ESMO real world data and digital oncology · 2026Article
- Building the adult growth hormone deficiency data mart: a Real-World model of AI-driven clinical data extraction in a single Italian center.Journal of endocrinological investigation · 2026Article
- A Novel Customizable Datamart and Tableau Dashboard to Monitor Multiple Enhanced Recovery After Surgery Programs: Development and Validation Study.JMIR perioperative medicine · 2026Article
- Real-World Identification of Eosinophilic COPD Patients Potentially Eligible for Dupilumab: A Retrospective Observational Study.International journal of chronic obstructive pulmonary disease · 2026Observational
- MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.BMC medical informatics and decision making · 2025Article
- Transforming breast cancer management with real-world data and artificial intelligence.ESMO real world data and digital oncology · 2024Article
- Outcomes of Radiotherapy in Oligoprogressive Breast Cancer.Journal of personalized medicine · 2024Article
- Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment.JCO clinical cancer informatics · 2024Article
- KIT 1 (Keep in Touch) Project-Televisits for Cancer Patients during Italian Lockdown for COVID-19 Pandemic: The Real-World Experience of Establishing a Telemedicine System.Healthcare (Basel, Switzerland) · 2023Article
- GENERATOR HEART FAILURE DataMart: An integrated framework for heart failure research.Frontiers in cardiovascular medicine · 2023Article
- Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse.Cancer informatics · 2023Article
- Innovations in the Integrated Management of Breast Cancer.Journal of personalized medicine · 2022Article
- Translational Research in the Era of Precision Medicine: Where We Are and Where We Will Go.Journal of personalized medicine · 2021Review
- The Assisi Think Tank Meeting Breast Large Database for Standardized Data Collection in Breast Cancer-ATTM.BLADE.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence (AI) is increasingly used for process management in daily life. In the medical field AI is becoming part of computerized systems to manage information and encourage the generation of evidence. Here we present the development of the application of AI to IT systems present in the hospital, for the creation of a DataMart for the management of clinical and research processes in the field of breast cancer. MATERIALS AND
methodsA multidisciplinary team of radiation oncologists, epidemiologists, medical oncologists, breast surgeons, data scientists, and data management experts worked together to identify relevant data and sources located inside the hospital system. Combinations of open-source data science packages and industry solutions were used to design the target framework. To validate the DataMart directly on real-life cases, the working team defined tumoral pathology and clinical purposes of proof of concepts (PoCs).
resultsData were classified into "Not organized, not 'ontologized' data", "Organized, not 'ontologized' data", and "Organized and 'ontologized' data". Archives of real-world data (RWD) identified were platform based on ontology, hospital data warehouse, PDF documents, and electronic reports. Data extraction was performed by direct connection with structured data or text-mining technology. Two PoCs were performed, by which waiting time interval for radiotherapy and performance index of breast unit were tested and resulted available.
conclusionsGENERATOR Breast DataMart was created for supporting breast cancer pathways of care. An AI-based process automatically extracts data from different sources and uses them for generating trend studies and clinical evidence. Further studies and more proof of concepts are needed to exploit all the potentials of this system.
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